Hybrid systems in buildings: Control strategies for optimal integration

https://doi.org/10.55214/2576-8484.v9i7.9008

Authors

  • Abdoul-Razak Al i-Tagba Centre d’Excellence Régional pour la Maîtrise de l’Electricité (CERME), University of Lome, 01BP1515 Lome, and Department of Physics, Solar Energy Laboratory, University of Lome, 01BP1515 Lome, Togo.
  • Mazabalo Baneto Centre d’Excellence Régional pour la Maîtrise de l’Electricité (CERME), University of Lome, 01BP1515 Lome, and Department of Physics, Solar Energy Laboratory, University of Lome, 01BP1515 Lome, Togo.
  • Arash Takshi Department of Electrical Engineering, University of South Florida, 4202 E Fowler Ave, Tempa, FL, 33620, USA.
  • Dumitru Dorin Lu-cache Faculty of Electrical Engineering, “Gheorghe Asachi” Technical University of Iaşi, 700050 Iasi, Romania.

This study proposes an optimized control strategy for a hybrid photovoltaic–wind system with battery storage, designed for off-grid applications. The objective is to enhance energy stability and overall efficiency through an adaptive fuzzy logic-based MPPT controller. The methodological approach is based on multi-component modeling using MATLAB/Simulink, integrating a multi-port DC converter and parametric optimization functions. The results demonstrate an overall energy efficiency of 92.7%, a 22% reduction in power oscillations compared to the conventional P&O algorithm, and DC bus voltage stabilization within ±0.5%. Furthermore, power supply continuity reaches 98.7%, and total harmonic distortion remains below 3.2%. The hierarchical energy management strategy ensures that the battery state of charge is maintained between 30% and 90%. These performance outcomes suggest that the proposed architecture is well-suited for autonomous microgrids in remote areas. Practical implications include the optimization of hybrid systems for sustainable electrification.

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How to Cite

i-Tagba, A.-R. A., Baneto, M., Takshi, A., & Lu-cache, D. D. (2025). Hybrid systems in buildings: Control strategies for optimal integration. Edelweiss Applied Science and Technology, 9(7), 1748–1784. https://doi.org/10.55214/2576-8484.v9i7.9008

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Published

2025-07-22